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Favorite In the era of Big Data, businesses are faced with a deluge of time series data. This data is not just available in high volumes, but is also highly nuanced. Amazon Forecast Deep Learning algorithms such as DeepAR+ and CNN-QR build representations that effectively capture common trends and patterns
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Shared by AWS Machine Learning September 23, 2021
Favorite Modern quantitative finance is based around the approach of pattern recognition in historical data. This approach requires teams of scientists to work in a collaborative and regulated setting in order to develop models that can be used to make trading predictions. With the growing influence of this field, both
Read More Shared by AWS Machine Learning September 22, 2021
Favorite I read this story on Linked-In with real enjoyment, and have the author’s permission to share it with you. This is the image Tabarak used to illustrate her story It’s an inspiring story of how anyone in an organisation, even those very new in their post, may have valuable
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Shared by Nick Milton September 22, 2021
Favorite Amazon Rekognition Custom Labels allows you to extend the object and scene detection capabilities of Amazon Rekognition to extract information from images that is uniquely helpful to your business. For example, you can find your logo in social media posts, identify your products on store shelves, classify machine parts
Read More Shared by AWS Machine Learning September 21, 2021
Favorite Look around you right now and consider everything that was created by an inventor. The computer you’re reading this article on, the internet necessary to load this article, the electricity that powers the screen, even the coffee maker you used this morning. To recognize the incredible contributions of those
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Shared by Google AI Technology September 21, 2021
Favorite Amazon SageMaker Feature Store is a purpose-built solution for machine learning (ML) feature management. It helps data science teams reuse ML features across teams and models, serves features for model predictions at scale with low latency, and train and deploy new models more quickly and effectively. As you learn
Read More Shared by AWS Machine Learning September 20, 2021
Favorite In this post, we discuss how to use the AWS Cloud and its services to accelerate observational studies for life sciences customers. We provide a reference architecture for architects, business owners, and technology decision-makers in the life sciences industry to automate the processes in clinical studies. Observational studies lead
Read More Shared by AWS Machine Learning September 20, 2021
Favorite A new study published in Nature shows that hybrid or remote working leads to a loss of collaboration across the organisational siloes, which is likely to inhibit the flow of knowledge. The study is called “The effects of remote work on collaboration among information workers“, with 9 authors, and
Read More Shared by Nick Milton September 20, 2021
Favorite This is a guest post by Pınar Köse Kulacz, Innovation Director at Arçelik. Arçelik, the leading global manufacturer of household appliances, has collaborated with AWS since 2019 to increase efficiency and innovate on new services. Here at Arçelik, we believe that data and artificial intelligence provide a critical advantage
Read More Shared by AWS Machine Learning September 18, 2021
Favorite Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). With a single click, data scientists and developers can quickly spin up Studio notebooks to explore and prepare datasets to build, train, and deploy ML models in a single pane of glass. We’re excited
Read More Shared by AWS Machine Learning September 17, 2021